Validation of house-keeping genes for normalization of gene expression data during diurnal/circadian studies in rice by RT-qPCR

Paralog editing tunes rice stomatal density to maintain photosynthesis and improve drought tolerance

Rice (Oryza sativa) is of paramount importance for global nutrition, supplying at least 20% of global calories. However, water scarcity and increased drought severity are anticipated to reduce rice yields globally. We explored stomatal developmental genetics as a mechanism for improving drought resilience in rice while maintaining yield under climate stress. CRISPR/Cas9-mediated knockouts of the positive regulator of stomatal development STOMAGEN and its paralog EPIDERMAL PATTERNING FACTOR-LIKE10 (EPFL10) yielded lines with ∼25% and 80% of wild-type stomatal density, respectively. epfl10 lines with moderate reductions in stomatal density were able to conserve water to similar extents as stomagen lines but did not suffer from the concomitant reductions in stomatal conductance, carbon assimilation, or thermoregulation observed in stomagen knockouts. Moderate reductions in stomatal density achieved by editing EPFL10 present a climate-adaptive approach for safeguarding yield in rice. Editing the paralog of STOMAGEN in other species may provide a means for tuning stomatal density in agriculturally important crops beyond rice.

Selection of suitable internal control gene for assaying gene expression in rice through qRT-PCR during sheath blight infection

qRT-PCR is a globally accepted technique for assaying gene expression in relative terms which compares the difference between critical threshold (C_T) values of a gene calculated form two independently isolated RNA samples. Independent RNA isolations, however, include error due to batch effect which must be normalized for error-free calculation of relative gene expression. Hence, C_T values of internal control (IC) genes are used for normalization during the calculation of expression fold-change in gene expression analysis. The expression of ICs genes expected to be stable in all the experimental conditions. However, it is almost impossible to find such a gene which do not depict expression fluctuation in response to the changes in experimental conditions. Hence, it is necessary to identify suitable IC gene(s) for any given experimental condition before conducting any particular gene expression study. Here, we examined the suitability of eight candidate IC genes, namely glyceraldehyde 3-phosphate dehydrogenase (GAPDH), eukaryotic elongation factor-1 (eEF-1α), 25 S rRNA (25 S), 18 S rRNA (18 S), ubiquitin C E2 ligase (UBC), Actin (Act), ubiquitin 5 (UBQ5) and ubiquitin 10 (UBQ10), for assaying gene expression in rice during sheath blight infection. Our analysis suggest that GAPDH might be the IC of choice when expression studies include contrasting genotypes differing in their tolerance to sheath blight pathogen as well as progressive infection time. While if expression analysis have to be performed only in one genotype but under progressive sheath blight infection, UBQ5 might be chosen as IC because of its high expression stability under the proposed experimental setup.

Identifying stable reference genes in polyethene glycol precipitated urinary extracellular vesicles for RT-qPCR-based gene expression studies in renal graft dysfunction patients

BACKGROUND

Urinary extracellular vesicles (UEVs) hold RNA in their cargo and are potential sources of biomarkers for gene expression studies. The most used technique for gene-expression studies is quantitative polymerase chain reaction (qPCR). It is critical to use stable reference genes (RGs) as internal controls for normalising gene expression data, which aren't currently available for UEVs.

METHODS

UEVs were precipitated from urine of graft dysfunction patients and healthy controls by Polyethylene glycol, Mn6000 (PEG6K). Vesicular characterisation confirmed the presence of UEVs. Gene expression levels of five commonly used RGs, i.e., Beta-2-Microglobulin (B2M), ribosomal-protein-L13a (RPL13A), Peptidylprolyl-Isomerase-A (PPIA), hydroxymethylbilane synthase (HMBS), and glyceraldehyde-3-phosphate-dehydrogenase (GAPDH) were quantified, and their stability was established through the RefFinder. The stability of identified RGs was validated by quantification of Perforin and granzyme B, signature molecules of renal graft dysfunction.

RESULTS

Urine precipitated with 12% 6 K PEG yielded round and double-membraned UEVs of size ranging from 30 to 100 nm, as confirmed through transmission electron microscopy. Nanoparticle tracking analysis (59 ± 22 nm) and Dynamic-light-scattering (78 ± 56.5 nm) confirmed their size profile. Semi-quantitative Exocheck antibody array demonstrated the presence of EV protein markers in UEV. Using the comparative ΔCт method and RefFinder analysis, B2M (1.6) and RPL13A (1.8) genes emerged as the most stable reference genes. Validation of target gene expression in renal graft dysfunction patients confirmed the efficiency of B2M and RPL13A through significant upregulation compared to other RGs.

CONCLUSIONS

Our study identified and validated B2M and RPL13A as optimal RGs for mRNA quantification studies in the UEVs of patients with renal graft dysfunction.

Conversion of sheath blight susceptible indica and japonica rice cultivars into moderately resistant through expression of antifungal β-1,3-glucanase transgene from Trichoderma spp

Rice is an important food crop for three billion people worldwide. The crop is vulnerable to several diseases. Sheath blight caused by fungal pathogen Rhizoctonia solani is a significant threat to rice cultivation accounting for up to 50% yield losses. The pathogen penetrates leaf blades and sheaths, leading to plant necrosis; and major disease resistance gene against the pathogen is not available. This study describes development of sheath blight resistant transgenic indica and japonica rice cultivars through introduction of antifungal β-1,3-glucanase transgene cloned from Trichoderma. The transgene integration and expression in transformed T₀ rice plants was examined by PCR, RT-PCR, qRT-PCR demonstrating up to 5-fold higher expression as compared to non-transgenic plants. The bioassay of T₀, T₁ and homozygous T₂ progeny plants with virulent R. solani isolate revealed that plants carrying high level of β-1,3-glucanase expression displayed moderately resistant reaction to the pathogen. The optical micrographs of leaf sheath cells from moderately resistant plant after pathogen inoculation displayed presence of a few hyphae with sparse branching; on the contrary, pathogen hyphae in susceptible non-transgenic plant cells were present in abundance with profuse hyphal branching and forming prominent infection cushions. The disease severity in T₂ progeny plants was significantly less as compared to non-transgenic plants confirming role of β-1,3-glucanase in imparting resistance.

Un-biased housekeeping gene panel selection for high-validity gene expression analysis

Differential gene expression normalised to a single housekeeping (HK) is used to identify disease mechanisms and therapeutic targets. HK gene selection is often arbitrary, potentially introducing systematic error and discordant results. Here we examine these risks in a disease model of brain hypoxia. We first identified the eight most frequently used HK genes through a systematic review. However, we observe that in both ex-vivo and in vivo, their expression levels varied considerably between conditions. When applying these genes to normalise expression levels of the validated stroke target gene, inducible Nox4, we obtained opposing results. As an alternative tool for unbiased HK gene selection, software tools exist but are limited to individual datasets lacking genome-wide search capability and user-friendly interfaces. We, therefore, developed the HouseKeepR algorithm to rapidly analyse multiple gene expression datasets in a disease-specific manner and rank HK gene candidates according to stability in an unbiased manner. Using a panel of de novo top-ranked HK genes for brain hypoxia, but not single genes, Nox4 induction was consistently reproduced. Thus, differential gene expression analysis is best normalised against a HK gene panel selected in an unbiased manner. HouseKeepR is the first user-friendly, bias-free, and broadly applicable tool to automatically propose suitable HK genes in a tissue- and disease-dependent manner.

Stable reference gene selection for quantitative real-time PCR normalization in passion fruit (Passiflora edulis Sims.)

BACKGROUND

Passiflora edulis is a tropical fruit with high nutrient and medicinal values that is widely planted in southern China. However, the molecular biology of P. edulis has not been well studied. There are few reports regarding the choice of reference genes for gene expression studies of passion fruit.

METHODS AND RESULTS

By using three algorithms, implemented in geNorm, NormFinder and BestKeeper, we have selected ten candidate reference genes to explore their transcriptional expression stability in various tissues and under cold stress conditions. EF1 and HIS were stably expressed in five tissues. Ts and OTU were stably in vegetative organs. 50 S and Liom were stably in reproductive organs. The transcriptional abundance of EF1 and UBQ was stable in cold-treated and recovery treated leaf samples of P. edulis. In all samples, EF1 and Ts exhibited the highest expression stability. Evaluation of selected genes using simple statistical methods (ANOVA and post hoc analysis). Overall, EF1 emerged as the optimum reference gene for qRT-PCR normalize in P. edulis. In addition, the qRT-PCR analysis revealed that expression of ICE1 increases with the duration of cold treatment.

CONCLUSIONS

In this study, we successfully screened stable reference genes from 10 candidates in P. edulis and verified the results by analyzing the expression level of ICE1. The results provide reliable and effective reference genes for future research on gene expression analysis in P. edulis, and lay a foundation for follow-up research on functional genes in P. edulis.

Preformed aerenchyma determines the differential tolerance response under partial submergence imposed by fresh and saline water flooding in rice

Plant's response to fresh- and saline-water flooding and the resulting partial submergence, seems different due to the added complexities of element toxicity of salinity. We identified a few rice genotypes which can tolerate combined stresses of partial submergence and salinity during saline water flooding. To gain mechanistic insights, we compared two rice genotypes: Varshadhan (freshwater-flooding tolerant) and Rashpanjor (both fresh- and saline-water flooding tolerant). We found greater ethylene production and increased "respiratory burst oxidase homolog" (RBOH)-mediated reactive oxygen species (ROS) production led to well-developed constitutive aerenchyma formation in Rashpanjor, which makes it preadapted to withstand fresh- and saline-water flooding. On the contrary, an induced aerenchyma formation-dependent tolerance mechanism of Varshadhan worked well for freshwater flooding but failed to provide tolerance to saline-water flooding. Additional salt stress was found to significantly inhibit the induced aerenchyma formation process due to the dampening of ROS signaling by the action of metallothionein in Varshadhan. Besides, inconspicuous changes in ionic regulation processes in these two genotypes under saline-water flooding suggest preadapted constitutive aerenchyma formation plays a more significant role than elemental toxicity per se in tolerating combined stresses encountered during saline water flooding in rice. Overall, our study indicated that well-developed constitutive aerenchyma provide an adaptive advantage during partial submergence due to saline water flooding in rice as the key process of induced aerenchyma formation is hampered in the presence of salinity stress coupled with partial submergence.

Selection and Validation of Candidate Reference Genes for Gene Expression Analysis by RT-qPCR in Rubus

Due to the lack of effective and stable reference genes, studies on functional genes in Rubus, a genus of economically important small berry crops, have been greatly limited. To select the best internal reference genes of different types, we selected four representative cultivars of blackberry and raspberry (red raspberry, yellow raspberry, and black raspberry) as the research material and used RT-qPCR technology combined with three internal stability analysis software programs (geNorm, NormFinder, and BestKeeper) to analyze 12 candidate reference genes for the stability of their expression. The number of most suitable internal reference genes for different cultivars, tissues, and fruit developmental stages of Rubus was calculated by geNorm software to be two. Based on the results obtained with the three software programs, the most stable genes in the different cultivars were RuEEF1A and Ru18S. Finally, to validate the reliability of selected reference genes, the expression pattern of the RuCYP73A gene was analyzed, and the results highlighted the importance of appropriate reference gene selection. RuEEF1A and Ru18S were screened as reference genes for their relatively stable expression, providing a reference for the further study of key functional genes in blackberry and raspberry and an effective tool for the analysis of differential gene expression.

An optimized protocol for stepwise optimization of real-time RT-PCR analysis

Computational tool-assisted primer design for real-time reverse transcription (RT) PCR (qPCR) analysis largely ignores the sequence similarities between sequences of homologous genes in a plant genome. It can lead to false confidence in the quality of the designed primers, which sometimes results in skipping the optimization steps for qPCR. However, the optimization of qPCR parameters plays an essential role in the efficiency, specificity, and sensitivity of each gene's primers. Here, we proposed an optimized approach to sequentially optimizing primer sequences, annealing temperatures, primer concentrations, and cDNA concentration range for each reference (and target) gene. Our approach started with a sequence-specific primer design that should be based on the single-nucleotide polymorphisms (SNPs) present in all the homologous sequences for each of the reference (and target) genes under study. By combining the efficiency calibrated and standard curve methods with the 2^-ΔΔCt method, the standard cDNA concentration curve with a logarithmic scale was obtained for each primer pair for each gene. As a result, an R² ≥ 0.9999 and the efficiency (E) = 100 ± 5% should be achieved for the best primer pair of each gene, which serve as the prerequisite for using the 2^-ΔΔCt method for data analysis. We applied our newly developed approach to identify the best reference genes in different tissues and at various inflorescence developmental stages of Tripidium ravennae, an ornamental and biomass grass, and validated their utility under varying abiotic stress conditions. We also applied this approach to test the expression stability of six reference genes in soybean under biotic stress treatment with Xanthomonas axonopodis pv. glycines (Xag). Thus, these case studies demonstrated the effectiveness of our optimized protocol for qPCR analysis.

Herbivore-induced and constitutive volatiles are controlled by different oxylipin-dependent mechanisms in rice

Despite the importance of volatile organic compounds (VOCs) for plants, control mechanisms for their basal and stress-induced biosynthesis and release remain unclear. We sampled and characterized headspace and internal leaf volatile pools in rice (Oryza sativa), after a simulated herbivory treatment, which triggers an endogenous jasmonate burst. Certain volatiles, such as linalool, were strongly upregulated by simulated herbivory stress. In contrast, other volatiles, such as β-caryophyllene, were constitutively emitted and fluctuated according to time of day. Transcripts of the linalool synthase gene transiently increased 1-3 h after exposure of rice to simulated herbivory, whereas transcripts of caryophyllene synthase peaked independently at dawn. Unexpectedly, although emission and accumulation patterns of rice inducible and constitutive VOCs were substantially different, both groups of volatiles were compromised in jasmonate-deficient hebiba mutants, which lack the allene oxide cyclase (AOC) gene. This suggests that rice employs at least two distinct oxylipin-dependent mechanisms downstream of AOC to control production of constitutive and herbivore-induced volatiles. Levels of the JA precursor, 12-oxo-phytodienoic acid (OPDA), were correlated with constitutive volatile levels suggesting that OPDA or its derivatives could be involved in control of volatile emission in rice.

Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa

Quinoa depicts high nutritional quality and abiotic stress resistance, attracting strong interest in the last years. To unravel the function of candidate genes for agronomically relevant traits, studying their transcriptional activities by RT-qPCR is an important experimental approach. The accuracy of such experiments strongly depends on precise data normalization. To date, validation of potential candidate genes for normalization of diurnal expression studies has not been performed in C. quinoa. We selected eight candidate genes based on transcriptome data and literature survey, including conventionally used reference genes. We used three statistical algorithms (BestKeeper, geNorm and NormFinder) to test their stability and added further validation by a simulation-based strategy. We demonstrated that using different reference genes, including those top ranked by stability, causes significant differences among the resulting diurnal expression patterns. Our results show that isocitrate dehydrogenase enzyme (IDH-A) and polypyrimidine tract-binding protein (PTB) are suitable genes to normalize diurnal expression data of two different quinoa accessions. Moreover, we validated our reference genes by normalizing two known diurnally regulated genes, BTC1 and BBX19. The validated reference genes obtained in this study will improve the accuracy of RT-qPCR data normalization and facilitate gene expression studies in quinoa.

Zinc-Phosphate Nanoparticles as a Novel Anticancer Agent: An In Vitro Evaluation of Their Ability to Induce Apoptosis

In the current study, zinc-phosphate nanoparticles (ZnPNPs) were investigated for the first time due to their anticancer activity against breast cancer Michigan Cancer Foundation-7 (MCF-7) cell line. The modification of such nanoparticles (NPs) was further examined for physicochemical characterization using various techniques such as powder X-ray diffraction (XRD), dynamic light scattering (DLS), zeta potential calculation, field emission scanning electron microscopy (FESEM), energy-dispersed spectroscopy (EDS), and Fourier transform infrared (FTIR) spectroscopy. Then, the newly fabricated ZnPNPs were tested for their in vitro cell cytotoxicity against breast cancer MCF-7 cells and noncancerous human embryonic kidney HEK293 cells, using MTT assay as a colorimetric one to assess cell metabolic activity for 24 h. The apoptotic efficacy of the NPs was subsequently confirmed through data obtained from Annexin V-fluorescein isothiocyanate (FITC)/propidium iodide (PI) staining kit and cell cycle analysis. Determination of reactive oxygen species (ROS) generation was further performed via flow cytometry. Additionally, the expression of tumor suppressor genes p53 was analyzed using real-time polymerase chain reaction (PCR). Also, the prepared NPs showed a mean particle size of 38 nm. The measurements correspondingly showed that the cytotoxicity of MCF-7 cells depends on the concentration of NPs (IC₅₀ = 80.112 μg/mL). MCF-7 cells were associated with initiation of apoptotic pathway in cells. Additionally, flow cytometry revealed cell cycle arrest in sub-G1 phase. ROS production was also obtained after treatment with IC₅₀ concentration. According to annexin V-FITC/PI staining kit data, the percentage of early and late apoptotic cells was 78.2% in those treated with ZnPNPs. Moreover, the real-time PCR results demonstrated the ability of NPs in upregulating p53 gene expression. In summary, the data demonstrated that fabricated ZnPNPs had prominence to act as antitumor agents in breast cancer therapy.

Overexpression of Arabidopsis ICE1 enhances yield and multiple abiotic stress tolerance in indica rice

ICE1 (Inducer of CBF Expression 1), a MYC-type bHLH transcription factor, is a regulator of cold tolerance in Arabidopsis. Indica rice, which occupies the major rice cultivated area, is highly sensitive to cold stress. Hence in this study, Arabidopsis ICE1 (AtICE1) was overexpressed in indica rice to analyze its role in reproductive stage cold and other abiotic stress tolerance to indica rice. AtICE1 was overexpressed by using stress inducible AtRD29A promoter in mega rice cv. MTU1010. Under cold stress conditions, AtICE1 overexpression lines showed lower accumulation of MDA and H2O2, higher membrane stability, and thus higher seedling survival rate than the WT plants. Expression levels of OsDREB1A, OsMYB3R2, and OsTPP1 were significantly higher in transgenics as compared with WT under cold stress conditions. AtICE1 transgenic rice plants produced 44-60% higher grain yield as compared with WT plants under control conditions in three independent experiments. Of the three AtICE1 overexpression lines, two lines produced significantly higher grain yield as compared with WT plants after recovery from cold, salt and drought stresses. AtICE1 overexpression lines showed significantly higher stomatal density and conductance under non-stress conditions. qRT-PCR analysis showed that expression levels of stomatal pathway genes viz., OsSPCH1, OsSPCH2, OsSCR1, OsSCRM1, OsSCRM2 and OsMUTE were significantly higher in AtICE1 transgenics as compared with WT plants. The components of water use viz., stomatal conductance, photosynthesis, and instantaneous WUE were higher in transgenics as compared with WT plants. The results showed that AtICE1 confers multiple stress tolerance to indica rice, and the role of ICE1 in stress tolerance and stomatal development is conserved across species.

Selection and validation of reliable reference genes for Tolypocladium guangdongense gene expression analysis under differentially developmental stages and temperature stresses

Tolypocladium guangdongense, formerly known as Cordyceps guangdongensis, is a widely cultivated fungus of the Cordyceps s.l. species that has been investigated over the last 12 years. It has the potential to be used in a number of applications in the health and pharmaceutical industries for it has shown its high nutritional and medicinal values according to previous animal studies. qRT-PCR (quantitative reverse transcription polymerase chain reaction) is extensively used to analyze the expression pattern and molecular mechanisms of functional genes under differentially experimental conditions. The expression stability of reference genes used for normalization determines the reliability of qRT-PCR results, indicating the importance of selection and validation of reference genes before gene expression analysis. In the present study, three statistical algorithms, geNorm, NormFinder and BestKeeper, were used for analyzing the expression stability of nineteen candidate reference genes (CRGs) in T. guangdongense. Investigation were carried out under differentially experimental conditions, which included differentially developmential stages (mycelia, primordia, young and mature fruiting bodies), different carbon sources, cold and heat stresses. The results showed that histone H4 and tubulin beta chain 2 (β-tub2) were the most and least stable genes, respectively, across all the experimental samples. Moreover, analysis of individual data sets exhibited different stability and expression profiles of reference genes. The vacuolar protein sorting gene VPS was the most stable gene expressed under the differentially developmental stages and temperature stresses, whereas H4 was the most stably expressed gene under different carbon sources. Therefore, it can be proposed that VPS and H4 are the preferred reference genes for normalization of gene expression under different experimental conditions. The results of our present study will enable more accurate evaluation of gene expression in T. guangdongense using the optimal reference gene for qRT-PCR analysis.

mRNA extraction of Xanthomonas fragariae in strawberry and validation of reference genes for the RT-qPCR for study of bacterial gene expression

This is the first study which describes a unique procedure of isolating of high-quality, intact RNA from strawberry leaves of Xanthomonas fragariae, three most suitable reference genes, crucial for the normalization of RT-qPCR data for this pathogen and accurate expression analysis of target genes. In our study, various mathematic algorithms: NormFinder geNorm, BestKeeper, the delta CT method, RefFinder were adopted for validation of most stable reference genes from nine candidate genes (ffh, glyA, gyrA, gyrB, proC, pykA, recA, rpoB, rpoD). The analyses allowing to select three most suitable pioneer reference genes, gyrB, ffh, and pykA, that we recommend for the normalization of RT-qPCR data and for the study of the expression of target genes in Xf. Moreover, their combination as references allowed for an accurate expression analysis and computation of the fold change of the flhF and iroN2 genes in Xf. These two genes are important for the success of the colonization of plant tissue and pathogenicity and sequences of primers designed to study these genes, are presented.

Identification of Suitable Reference Genes for RT-qPCR Assays in Liriodendron chinense (Hemsl.) Sarg

The precision and reliability of reverse transcription quantitative polymerase chain reaction (RT-qPCR) depend mainly on suitable reference genes; however, reference genes have not yet been identified for Liriodendron chinense (Hemsl.) Sarg. In this study, the expression stability of 15 candidate reference genes, ACT7, ACT97, UBQ1, eIF2, eIF3, HIS, BIG, AGD11, EFG, GAPDH, CYP, RPL25, UBC, RPB1, and TUB, was tested across multiple organs of L. chinense using four algorithms, geNorm, NormFinder, BestKeeper, and RefFinder. To understand the difference between the selected reference genes and the unsuitable candidate reference genes, the expression level of a target gene, LcPAT7, was normalized across various plant samples. ACT97 and eIF3 represented the best combination across all samples tested, while AGD11 and UBQ1 were unsuitable for normalization in this case. In the vegetative organ subset, ACT97, ACT7, and GAPDH showed the highest expression stability. For floral organs, UBC and eIF3 were the most stable reference genes. Unsuitable reference genes underestimated the expression levels of a target gene, LcPAT7. This study identified two reference genes (ACT97 and eIF3) for the precise and reliable normalization of L. chinense RT-qPCR data across various organs. Our work provides an effective framework for quantifying gene expression in L. chinense.

Selection and Validation of Reference Genes for Gene Expression Studies by RT-PCR in Dalbergia odorifera

Perennial tree Dalbergia odorifera T. Chen could form the precious heartwood used to produce chinese traditional medicine, rosewood furniture and fragrances. However the formation of heartwood is time-consuming and low efficient, leading to the severe destruction of its wild resources. Thus, it is urgent to study the molecular mechanism of heartwood formation in D. odorifera. But till now, there is no report about the reference gene selection in this species. In this study, the expression stability of nine candidate reference genes were evaluated across different tissues and stems treated by wound and chemical stimulators. Four algorithms were applied to obtain the robust genes. The results support HIS2, GAPDH, and CYP to be the most stable reference genes in samples under different wound treatments while DNAj was the least stable. In different tissues, HIS2, UBQ, and RPL were the most stable reference genes while DNAj was the least stable. The selected reference genes were validated through the normalization of the qRT-PCR data of six heartwood related genes in terpene biosynthesis pathway and ethylene signal pathway. The results showed that their expression levels were accurate when they were normalized by the most stable reference gene HIS2, or by the combination of the two or three most stable reference genes. These results demonstrated that these selected reference genes are reliable.

Selection of Reference Genes for qRT-PCR Analysis in Lentinula edodes after Hot-Air Drying

Volatile sulfur compounds gradually develop in Lentinula edodes after hot-air drying, and many genes are involved in the generation of these sulfur compounds. The expression stability of reference genes may vary in a particular experimental treatment when analyzing their expressions by quantitative real-time polymerase chain reaction (qRT-PCR). In this study, the expression profile of 17 candidate genes was assessed in L. edodes under treatment at 50 °C for 0, 1, 2, and 3 h, and the expression stability of each reference gene was analyzed by three statistical algorithms, including geNorm, NormFinder, and BestKeeper. Results indicated that the two optimal reference genes for mycelium and fruiting body were CAC and DAHP as well as CAC and NUP, respectively. Additionally, CAC and DAHP were found to be the two most stable reference genes across the mycelium and fruiting body set. Our results will provide a genetic foundation for further research on the metabolism genes of sulfur compounds in L. edodes.

Implicit time-place conditioning alters Per2 mRNA expression selectively in striatum without shifting its circadian clocks

Animals create implicit memories of the time of day that significant events occur then anticipate the recurrence of those conditions at the same time on subsequent days. We tested the hypothesis that implicit time memory for daily encounters relies on the setting of the canonical circadian clockwork in brain areas involved in the formation or expression of context memories. We conditioned mice to avoid locations paired with a mild foot shock at one of two Zeitgeber times set 8 hours apart. Place avoidance was exhibited only when testing time matched the prior training time. The suprachiasmatic nucleus, dorsal striatum, nucleus accumbens, cingulate cortex, hippocampal complex, and amygdala were assessed for clock gene expression. Baseline phase dependent differences in clock gene expression were found in most tissues. Evidence for conditioned resetting of a molecular circadian oscillation was found only in the striatum (dorsal striatum and nucleus accumbens shell), and specifically for Per2 expression. There was no evidence of glucocorticoid stress response in any tissue. The results are consistent with a model where temporal conditioning promotes a selective Per2 response in dopamine-targeted brain regions responsible for sensorimotor integration, without resetting the entire circadian clockwork.